traffic-simulation-engine

Solid

Traffic simulation skill for microsimulation, level of service, and signal optimization

AI & Automation 814 stars 53 forks Updated today MIT

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Skill Content

# Traffic Simulation Engine Skill ## Purpose The Traffic Simulation Engine Skill performs traffic analysis including microsimulation, level of service calculation per HCM methodology, and signal timing optimization. ## Capabilities - Microsimulation modeling - Level of service calculation (HCM methodology) - Queue length estimation - Delay analysis - Signal timing optimization - Trip generation calculation - Capacity analysis - Intersection performance ## Usage Guidelines ### When to Use - Analyzing traffic impacts - Evaluating intersection operations - Optimizing signal timing - Projecting future conditions ### Prerequisites - Traffic count data available - Network geometry defined - Signal timing known - Growth rates established ### Best Practices - Validate model with counts - Use appropriate peak periods - Consider multiple scenarios - Document assumptions ## Process Integration This skill integrates with: - Traffic Impact Analysis - Intersection Signal Design ## Configuration ```yaml traffic-simulation-engine: analysis-types: - intersection - corridor - network methodologies: - HCM - microsimulation metrics: - LOS - delay - queue - v/c ``` ## Output Artifacts - LOS summaries - Delay calculations - Queue length reports - Simulation animations

Details

Author
a5c-ai
Repository
a5c-ai/babysitter
Created
4 months ago
Last Updated
today
Language
JavaScript
License
MIT

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